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Definition Motivations Goals Business Intelligence Part I: Introduction
24

Bi Intro

Sep 05, 2014

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Business

Will Gunadi

This is the scaled-down version from the presentation that I did in front of some local business people about the usefulness of existing business data when harnessed with Business Intelligence (BI) techniques and processes.
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Transcript
Page 1: Bi Intro

DefinitionMotivationsGoals

Business IntelligencePart I: Introduction

Page 2: Bi Intro

Business IntelligencePart I: Introduction

Welcome to the “Data-driven World”

Page 3: Bi Intro

Any organizations that deal with budget, projects, and targetsAny businesses that uses this

equation: Revenue – Cost = Profit

BI: DefinitionWho is it for?

Page 4: Bi Intro

Using your data to help your business growA means to discover loss

profit and hidden costReducing stress and

increasing confidence in decisions… The smart thing to do!

BI: DefinitionBusiness Intelligence is ...

Page 5: Bi Intro

Just as medical labs analyze our blood

Just as oil-analysis labs analyze oil samples inside of an engine

When we measure key indicators, we can be in a preventive mode

BI: DefinitionHow does BI do it?

Page 6: Bi Intro

You cannot improve what you don't measureYou cannot fix problems you

don't know about

BI: DefintionSo what?

Page 7: Bi Intro

How much is the cost of

increasing your revenues?

How much is the cost of solving your business problems?

BI: DefintionHow Much?

Page 8: Bi Intro

Data is the lifeblood of all organizations especially businesses

The quality of data is an indicator of the quality of the decisions made based on it

In one sense:

● Business = Business Data + Business Rules

BI: MotivationsWhat is the big deal with Data?

Page 9: Bi Intro

BI: MotivationsWhy is BI crucial for businesses?

vs

Name Jane Doe

Address 123 Main St.

Profession Attorney

Last purchase

5/5/2013

Purchase frequency

2-3 times a month

Most frequently purchased product

Acme Black Shoes

Most expensive product purchased

Acme Red Shoes

Birthday 7/4

Page 10: Bi Intro

BI: MotivationsBI is Marketing

“What good does your data do for you, sitting inside the database?”

Page 11: Bi Intro

Data is everywhere

Data is used by everyone

Data does not maintain itself

Data “Goes Bad” over time

Only accurate and reliable data is useful and valuable

BI: MotivationsSome Facts about Data

Page 12: Bi Intro

Data is Everywhere

Payroll andEmployment

History OrdersAnd

Invoices

WarehousesAnd

DistributionCenters

OrganizationChart

ManufacturingAnd

Inventory

Legal and FinancialContracts

ProductsAnd

Catalogs

Point of SaleOr

E-commerce

GeneralLedger

MarketingAnd

Promotions

Page 13: Bi Intro

Data is used by Everyone

BusinessData

IRS andState

Tax Authority

Investors andBanks

Accountants and

Lawyers

BusinessOwner

Vendors

Customers

Page 14: Bi Intro

Invalid data entry – will happen no matter what

Data is regulated by Business Rules● There are External and Internal Rules● What must happen when they change? ● Rule changes introduce problems due to

non-uniform understanding, human or system errors

Data accuracy and reliability degrade over time – invisibly. We can't see it unless we do something about it.

BI: MotivationsHow does Data go bad?

Page 15: Bi Intro

Customer delivery address: 1 expected, 3 found ← Ambiguity

Missing digits in accounting cumulative figures ← Inaccuracy (Lost Profits)

Airline ticket type column: Sometimes missing ← Unreliable

Discount being applied beyond expiry time ← Rule Error (Hidden Expenses)

Incomplete transaction data ← 'Epic' Missing Data

BI: MotivationsWhat does bad data look like?

Page 16: Bi Intro

BI: MotivationsExample: Parts List Condition vs Quantity–

Page 17: Bi Intro

Data Management: Strategic plans to regulate data flow using business rules

Data Maintenance: Day-to-day job of making sure that data quality is high. Especially after any rule changes

Data Analytics: Using high-quality data to answer questions or to come up with new insights

BI: MotivationsHow does BI deal with Bad Data?

Page 18: Bi Intro

Seventy percent of Data Mgmt., Maintenance, and Analysis is performed by data personnels.

Not a lot of companies have in-house data personnels.

Twenty percent depends on the BI suite choice.

Ten percent depends on hardware setup.

BI: MotivationsWhy are Data Personnels Useful?

Page 19: Bi Intro

Business and IT care about the same thing: Data

But they understand data differently

BI should be in-between IT and Executives (business)

BI: GoalsIsn't BI part of IT Dept.?

Page 20: Bi Intro

Data Warehouse: Implementation

Page 21: Bi Intro

To automate existing manual processes● To reduce human errors● To reduce the time spent

To monitor the application of business rules on data

To simplify information from multiple sources

BI: GoalsObjectives

Page 22: Bi Intro

How's business? Profit up, cost down?

What do you do with online marketing?

Do you tell your customers that you're doing a good job?

What is your plan to service more customers? Expand to adjacent markets?

Do you generate reports manually? Do you maintain the numbers manually?

BI: GoalsHow to talk BI without saying 'data'?

Page 23: Bi Intro

97,859 Businesses with 1 to 9 employees and 37,940 Businesses with 10 to 99 employees in DFW alone (US Census Bureau, 2009)

High volume transactions: Transaction Processing, Warehouses, Suppliers, Distributors, Manufacturing, etc.

Low volume transactions: Grocery Stores, Multi-store franchises (restaurants, salons, fitness clubs, etc.)

BI: GoalsHow big is the market for BI?

Page 24: Bi Intro

For more info on using

BI for your business:

Will Gunadi

[email protected]

214.436.3232

@nextcoderwill